Generating High-Resolution Fashion Model Images Wearing Custom Outfits
G\"okhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
TL;DR
This paper presents a method for generating high-resolution images of fashion models in custom outfits and poses, enabling more diverse and realistic visualizations for online shopping.
Contribution
It introduces a novel approach that transfers style and pose between outfits, producing realistic images of human bodies and garments in high resolution.
Findings
Able to generate high-resolution, realistic fashion images
Effective style and pose transfer between outfits
Enhances virtual try-on and fashion visualization
Abstract
Visualizing an outfit is an essential part of shopping for clothes. Due to the combinatorial aspect of combining fashion articles, the available images are limited to a pre-determined set of outfits. In this paper, we broaden these visualizations by generating high-resolution images of fashion models wearing a custom outfit under an input body pose. We show that our approach can not only transfer the style and the pose of one generated outfit to another, but also create realistic images of human bodies and garments.
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Taxonomy
Topics3D Shape Modeling and Analysis · Generative Adversarial Networks and Image Synthesis · Computer Graphics and Visualization Techniques
MethodsDense Connections · R1 Regularization · HuMan(Expedia)||How do I get a human at Expedia? · Adaptive Instance Normalization · Convolution · Feedforward Network · StyleGAN